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This allows the spark-shell, spark-class, run-example, make-distribution.sh,
and ./bin/start-* scripts to work under Cygwin. Note that this doesn't
support PySpark under Cygwin, since that requires many additional `cygpath`
calls from within Python and will be non-trivial to implement.
This PR was inspired by, and subsumes, #253 (so close #253 after this is merged).
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https://gist.github.com/ScrapCodes/4805fd84906e40b7b03d
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This allows the JavaAPICompletenessChecker to be
run with Spark 0.8+.
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This can happen easily if building different hadoop versions.
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Lacking this, the if/case statements never trigger on Spark 0.8.0+.
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Various UI tweaks
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spark-daemon
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This commit makes Spark invocation saner by using an assembly JAR to
find all of Spark's dependencies instead of adding all the JARs in
lib_managed. It also packages the examples into an assembly and uses
that as SPARK_EXAMPLES_JAR. Finally, it replaces the old "run" script
with two better-named scripts: "run-examples" for examples, and
"spark-class" for Spark internal classes (e.g. REPL, master, etc). This
is also designed to minimize the confusion people have in trying to use
"run" to run their own classes; it's not meant to do that, but now at
least if they look at it, they can modify run-examples to do a decent
job for them.
As part of this, Bagel's examples are also now properly moved to the
examples package instead of bagel.
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